A waste treatment method and system based on degradable plastic cup production

Abstract

The application provides a kind of waste treatment method and system based on degradable plastic cup production, steps include: first, the collected degradable waste is washed, then it is crushed into the particle of preset size.After washing and drying, the pre-trained recyclable particle identification model is used to intelligently identify and classify the waste particles, which are divided into two categories: recyclable particles and non-recyclable particles.The recyclable particles are regenerated to generate reusable regenerated raw material particles, and the non-recyclable particles are degraded.The advantage of this method is that it introduces intelligent identification technology, improves the accuracy and efficiency of classification.Through the classification of waste, the resource reuse of recyclable part is maximized, and the environment-friendly degradation treatment of non-recyclable part is ensured, which improves the resource utilization efficiency and economic benefit, and also reduces the negative impact on the environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of degradable materials, in particular to a waste treatment method and system based on the production of degradable plastic cups. BACKGROUND

[0002] In the production process of degradable plastic cups, degradable plastic waste is inevitably generated. These wastes mainly come from test samples in the production process, unqualified products, and edge scraps generated in processes such as trimming and punching. Due to the special chemical structure and performance requirements of degradable plastics, process parameters need to be strictly controlled during production, which results in a lower qualified rate than traditional plastic products, thereby generating more waste.

[0003] At present, the treatment methods of degradable plastic waste mainly include landfill treatment, composting treatment and recycling. Landfill treatment is to directly fill the waste into the soil and use microorganisms in the natural environment to degrade it. This method is simple to operate and has low cost, but it occupies a large amount of land resources and the degradation process is slow, which may affect the soil and groundwater. Composting treatment is to add specific microbial strains and nutrients under artificial control conditions to accelerate the degradation process of waste. This method has high degradation efficiency, and the product can be used as organic fertilizer, but it needs professional treatment equipment and site, and the operation cost is high. Recycling is to pretreat the waste by sorting, cleaning and drying, and then granulate to make recycled materials.

[0004] Recycling can realize the recycling of resources and reduce environmental pollution, but due to the change of performance of degradable plastics in the processing process, the quality of the recycled degradable plastics is difficult to guarantee. SUMMARY

[0005] The present application provides a waste treatment method based on the production of degradable plastic cups, comprising the following steps:

[0006] A1, cleaning the pre-collected degradable waste;

[0007] A2, crushing the degradable waste into degradable waste particles with a preset recycling particle size;

[0008] A3, cleaning and drying the degradable waste particles;

[0009] A4, acquiring images of the degradable waste particles and identifying and classifying the recyclable particles and non-recyclable particles through a pre-trained recyclable particle identification model;

[0010] A5, regenerating the recyclable particles to generate regenerated raw material particles;

[0011] A6, degrading the non-recyclable particles.

[0012] By adopting the technical scheme, the waste treatment method based on the degradable plastic cup production can realize classification of the waste through cleaning, crushing, classification and intelligent identification, etc., can maximize recycling of renewable parts, and can properly degrade the non-recyclable parts, thereby improving resource utilization efficiency, improving economic benefits and reducing environmental pollution.

[0013] Optionally, the step A4 comprises the following steps:

[0014] A401, according to a preset single screening quantity, sequentially obtaining a corresponding quantity of waste particles from the degradable waste particles and laying them on a preset transparent screening panel;

[0015] A402, acquiring waste particle laying front image data and waste particle laying back image data by shooting the transparent screening panel through a preset screening camera module;

[0016] A403, according to the waste particle front laying image data, identifying and determining the front identification frame positioning data and the front recyclable confidence of each waste particle by using a recyclable particle identification model;

[0017] A404, according to the waste particle back laying image data, identifying and determining the back identification frame positioning data and the back recyclable confidence of each waste particle by using a recyclable particle identification model;

[0018] A405, according to the front identification frame positioning data and the back identification frame positioning data of each waste particle, matching to determine the front recyclable confidence and the back recyclable confidence corresponding to each waste particle;

[0019] A406, according to the front identification frame positioning data of the waste particle and the panel size data of the screening panel, determining the panel front positioning data corresponding to the waste particle;

[0020] A407, if the front recyclable confidence or the back recyclable confidence corresponding to the waste particle is less than a preset recyclable confidence threshold, defining the corresponding waste particle as a non-recyclable particle;

[0021] A408, according to the panel front positioning data of the non-recyclable particle, sucking and collecting the non-recyclable particle from the transparent screening panel by using a preset particle suction module;

[0022] A409, after all the non-recyclable particles on the transparent screening panel are sucked by the particle suction module, collecting the remaining waste particles on the transparent screening panel to generate recyclable particles.

[0023] By adopting the above technical scheme, the waste treatment method based on degradable plastic cup production can realize the image classification of waste particles through the shooting and analysis of the front and back surfaces, combined with the identification model to identify the recyclable confidence. At the same time, through the cooperation of the transparent screening panel and the particle suction module, the efficiency and accuracy of the classification process are ensured, which not only improves the classification efficiency and reduces the labor cost, but also significantly improves the classification accuracy, providing reliable guarantee for subsequent recycling and reuse.

[0024] Optionally, the waste treatment method based on degradable plastic cup production further comprises the following steps for training the recyclable particle identification model:

[0025] B1, multiple times of obtaining raw material particles of a single screening quantity and laying on the transparent screening panel;

[0026] B2, shooting the transparent screening panel by the screening camera module to obtain raw material particle laying front image data and raw material particle laying back image data;

[0027] B3, determining the front identification frame positioning data corresponding to each raw material particle according to the raw material particle laying front image data and the pre-trained particle identification model;

[0028] B4, determining the back identification frame positioning data corresponding to each raw material particle according to the raw material particle laying back image data and the particle identification model;

[0029] B5, obtaining the front image data of the corresponding raw material particle according to the front identification frame positioning data corresponding to each raw material particle and the raw material particle laying front image data;

[0030] B6, obtaining the back image data of the corresponding raw material particle according to the back identification frame positioning data corresponding to each raw material particle and the raw material particle laying back image data;

[0031] B7, generating a particle image training set according to all raw material particle front image data, raw material particle back image data, corresponding front and back marking values and pre-set identification result label values;

[0032] B8, training the pre-set identification model according to the particle image training set to generate a recyclable particle identification model.

[0033] By adopting the above technical scheme, the waste treatment method based on degradable plastic cup production can obtain rich training data set by collecting the front and back image data of raw material particles, combined with the particle identification model for positioning and image acquisition, which not only ensures the quality and integrity of the training data, but also makes the recyclable particle identification model trained finally have higher identification accuracy and practicality by setting the front and back marking values.

[0034] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0035] C1, determine the corresponding single screening waste particle number according to the front face recognition frame positioning data of each waste particle;

[0036] C2, determine the corresponding single screening non-recyclable particle total number according to the statistics of each non-recyclable particle;

[0037] C3, accumulate the single screening waste particle number of each screening to determine the total number of waste particles;

[0038] C4, accumulate the single screening non-recyclable particle total number of each screening to determine the total number of non-recyclable particles;

[0039] C5, calculate the total number of recyclable particles by subtracting the total number of waste particles and the total number of non-recyclable particles;

[0040] C6, calculate the corresponding waste particle recovery rate according to the total number of recyclable particles and the total number of waste particles;

[0041] C7, if the waste particle recovery rate is lower than the preset recovery rate threshold, send a warning message to the preset control background.

[0042] By adopting the above technical scheme, the waste treatment method based on the production of degradable plastic cups can analyze the number of single screening and cumulative screening waste particles, calculate the recovery rate and set the early warning mechanism, not only can the waste treatment efficiency and recovery status be understood in time, but also the problem of low recovery rate can be found and solved in time through the warning information, realizing the intelligent supervision of the whole waste treatment process and providing reliable data support for production management decision.

[0043] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0044] D1, sample the single screening number of regenerated raw material particles and lay them on the transparent screening panel;

[0045] D2, capture the transparent screening panel to obtain regenerated particle paving front image data and regenerated particle paving back image data through the screening camera module;

[0046] D3, identify and determine the corresponding front recyclable confidence and back recyclable confidence of each regenerated raw material particle according to the regenerated particle paving front image data and the regenerated particle paving back image data through the recyclable particle identification model;

[0047] D4, calculating the particle recyclable confidence of each recycled raw material particle according to the front recyclable confidence and the back recyclable confidence corresponding to the recycled raw material particle;

[0048] D5, calculating the sampling average recyclable confidence according to the particle recyclable confidence of all recycled raw material particles;

[0049] D6, defining the sampling average recyclable confidence as the recycling quality degree of the recycled raw material particle.

[0050] By adopting the technical scheme, the waste treatment method based on the production of degradable plastic cups can detect the recycled raw material particles by sampling, utilize the double-face image recognition technology and recyclable confidence calculation, and finally obtain the quantitative index of the recycling quality degree, which can not only accurately evaluate the recycling effect, but also provide reliable data basis for production quality control, help to continuously improve the recycling process, and ensure the quality stability of the recycled raw material.

[0051] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0052] E1, when the recyclable particles and the non-recyclable particles are obtained by screening and classifying the degradable waste particles, the corresponding screening time is counted;

[0053] E2, calculating the waste particle recycling value according to the total number of recyclable particles, the recycling quality degree, and the preset raw material particle value by using the preset recycling value algorithm;

[0054] E3, calculating the screening cost according to the screening time and the preset screening time cost;

[0055] E4, calculating the potential recycling yield rate of the degradable waste particles according to the waste particle recycling value and the screening cost;

[0056] E5, if the potential recycling yield rate is lower than the preset recycling yield rate threshold, sending a warning information to the control background.

[0057] By adopting the technical scheme, the waste treatment method based on the production of degradable plastic cups can comprehensively consider multiple factors such as screening time, recycling quality, raw material value, calculate the accurate potential recycling yield rate, and set the early warning mechanism, which can not only monitor the economic benefit of waste treatment in real time, but also find and solve the problem of low yield rate in time, provide reference basis for enterprise management decision-making, and ensure that the waste treatment is not only environmentally friendly but also economically feasible.

[0058] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps of determining the number of single screening:

[0059] F1, setting a recycled particle size according to a particle size of raw material particles;

[0060] F2, calculating a corresponding particle paving cross-sectional area according to the recycled particle size;

[0061] F3, calculating a corresponding panel area according to panel size data;

[0062] F4, calculating an available paving area by multiplying a preset paving density and the panel area;

[0063] F5, calculating a corresponding number of paveable particles by dividing the available paving area by the particle paving cross-sectional area and defining as a single screening quantity.

[0064] By adopting the above technical scheme, the waste treatment method based on degradable plastic cup production can calculate the optimal single screening quantity by considering key parameters such as particle size, panel area, and paving density, thereby not only ensuring the uniformity and operability of the screening process, but also maximizing the use of screening panel space, improving screening efficiency, and improving the standardization degree of the entire waste treatment process.

[0065] The application also provides a waste treatment system based on degradable plastic cup production, comprising:

[0066] a pretreatment module;

[0067] a screening module;

[0068] a screening camera module;

[0069] an identification processing module;

[0070] The pretreatment module, the screening module, and the screening camera module are respectively data-connected to the identification processing module, and the pretreatment module and the screening module are connectable in a material conveying manner.

[0071] The pretreatment module includes a cleaning module, a crushing module, and a drying module, the cleaning module and the crushing module are connectable in a material conveying manner, and the drying module is ventilatively connected to the crushing module.

[0072] The screening module includes a transparent screening panel and a particle suction module, the transparent screening panel is horizontally arranged, and the particle suction module is movably arranged above the transparent screening panel.

[0073] The screening camera module includes a front camera module and a back camera module, the front camera module faces the transparent screening panel and is arranged directly above the transparent screening panel, and the back camera module faces the transparent screening panel and is arranged directly below the transparent screening panel.

[0074] wherein the waste treatment system based on degradable plastic cup production further comprises a waste treatment strategy, comprising the following steps:

[0075] G1, washing the pre-collected degradable waste through the pretreatment module;

[0076] G2, crushing the degradable waste into degradable waste particles with a preset recycling particle size through the pretreatment module;

[0077] G3, washing and drying the degradable waste particles through the pretreatment module;

[0078] G4, image acquisition of the degradable waste particles through the screening module and the screening camera module, and identification and screening classification of the degradable waste particles through a pre-trained recyclable particle identification model to obtain recyclable particles and non-recyclable particles;

[0079] G5, regenerating the recyclable particles to generate regenerated raw material particles;

[0080] G6, degrading the non-recyclable particles.

[0081] By adopting the above technical solution, the waste treatment system based on degradable plastic cup production can realize automation and intelligentization of the whole waste treatment process through the construction of an integrated automatic treatment platform, the close connection and cooperative work between various functional modules, the pipeline treatment of washing, crushing and drying through the pretreatment module, the image acquisition through the transparent panel and suction module of the screening module, and the image acquisition through the double-sided camera module, which not only improves the processing efficiency, but also ensures the accuracy of classification, and provides reliable hardware support for industrialized scale application.

[0082] In summary, the present application has at least one of the following beneficial technical effects:

[0083] 1. Through the steps of washing, crushing, classification and intelligent identification, the classification of waste can be realized, the renewable part can be recycled to the maximum extent, and the non-recyclable part can be properly degraded, which not only improves the resource utilization efficiency and economic benefit, but also reduces environmental pollution.

[0084] 2. Through the shooting and analysis of the front and back surfaces, the recyclable confidence is identified through the identification model, the image classification of waste particles is realized, and through the cooperation of the transparent screening panel and the particle suction module, the efficiency and accuracy of the classification process are ensured, which not only improves the classification efficiency and reduces the labor cost, but also significantly improves the classification accuracy, providing reliable guarantee for subsequent recycling and reuse.

[0085] 3. The method can obtain rich training data set by collecting image data of both sides of raw material particles, positioning and image acquisition combined with particle identification model, not only ensuring the quality and integrity of the training data, but also setting the front and back side mark value, so that the recyclable particle identification model finally trained has higher identification accuracy and practicality. BRIEF DESCRIPTION OF DRAWINGS

[0086] Figure 1 is a principle schematic diagram of a waste treatment system based on degradable plastic cup production of the application.

[0087] Figure 2 is a process schematic diagram of a waste treatment method based on degradable plastic cup production of the application. DETAILED DESCRIPTION

[0088] In order to make the purpose, technical scheme and advantages of the application more clear, the application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the application and not to limit the application.

[0089] The application examples will be further described in detail below in combination with the drawings of the specification.

[0090] REFERENCE Figure 1 and Figure 2 The application provides a waste treatment method based on degradable plastic cup production, which is used for treating degradable corner waste generated in the production process of degradable plastic cups, and comprises the following steps:

[0091] A1, cleaning the pre-collected degradable waste;

[0092] The degradable waste is pre-collected degradable corner waste generated in the production of degradable plastic cups. The plastic cups produced by degradable plastic will generate a certain amount of corner waste in the forming process such as injection molding and compression molding. This part of waste can be partially recycled and reused;

[0093] The collected degradable waste may be contaminated with dirt generated in the forming process and needs to be cleaned.

[0094] A2, crushing the degradable waste to generate degradable waste particles with a pre-set recyclable particle size;

[0095] The recyclable particle size is a pre-set particle size, which is used to determine the crushing degree of the degradable waste;

[0096] The degradable waste particles are particles generated after the degradable waste is crushed.

[0097] A3, cleaning and drying the degradable waste particles;

[0098] The degradable waste particles formed after crushing are washed and dried to remove the dust generated during the crushing process and keep the surface of the degradable waste particles clean.

[0099] A4, image acquisition is performed on the degradable waste particles, and a pre-trained recyclable particle recognition model is used to identify and screen and classify the recyclable particles and the non-recyclable particles;

[0100] The recyclable particle recognition model is a pre-trained identification model that identifies recyclable particles and non-recyclable particles through the appearance image of the degradable waste particles and classifies them;

[0101] The recyclable particles are degradable plastic particles that can be recycled and reused;

[0102] The non-recyclable particles are degradable plastic particles that do not meet the recycling standards;

[0103] Degradable plastics that have undergone denaturation will exhibit obvious changes in appearance, such as changes in color, yellowing or browning of the material, reduced transparency, and loss of original gloss. Surface state changes may include roughness, wrinkles, or cracks, and other surface defects. Therefore, image recognition can identify degradable waste particles that are not suitable for recycling and reuse due to denaturation.

[0104] A5, regenerating the recyclable particles to generate regenerated raw material particles;

[0105] The regenerated raw material particles are degradable plastic particles that can be used to regenerate after regenerating the recyclable particles.

[0106] A6, degrading the non-recyclable particles;

[0107] Non-recyclable degradable plastics can be degraded, such as composting, high-temperature decomposition, and other methods.

[0108] Through the above steps, the waste treatment method based on degradable plastic cup production can achieve waste classification through washing, crushing, classification, and intelligent identification, maximizing the recycling of renewable parts while properly degrading non-recyclable parts, improving resource utilization efficiency, improving economic efficiency, and reducing environmental pollution.

[0109] Further, the step A4 includes the following steps:

[0110] A401, according to the pre-set number of single screening, the corresponding number of waste particles is obtained from the degradable waste particles one by one and laid on the pre-set transparent screening panel 21.

[0111] The single screening quantity is a preset quantity value for determining the quantity of degradable waste particles screened at a time, which can be a volume quantity or a mass quantity;

[0112] The transparent screening panel 21 is a preset transparent panel for paving waste particles to facilitate obtaining image data of each waste particle from the front and back.

[0113] A402, capturing the transparent screening panel 21 to obtain waste particle paving front image data and waste particle paving back image data by the preset screening camera module 30;

[0114] The waste particle paving front image data is image data of all waste particles paved on the transparent screening panel 21 captured from the front of the transparent screening panel 21;

[0115] The waste particle paving back image data is image data of all waste particles paved on the transparent screening panel 21 captured from the back of the transparent screening panel 21.

[0116] A403, determining the front recognition frame positioning data and the front recyclable confidence of each waste particle according to the waste particle front paving image data by the recyclable particle recognition model;

[0117] The front recognition frame positioning data is the positioning data of the recognition frame of the waste particle in the image according to the waste particle front paving image data;

[0118] The front recyclable confidence is the recyclable recognition confidence of each waste particle according to the waste particle front paving image data;

[0119] That is, the confidence of recycling from the front image of each waste particle.

[0120] A404, determining the back recognition frame positioning data and the back recyclable confidence of each waste particle according to the waste particle back paving image data by the recyclable particle recognition model;

[0121] The back recognition frame positioning data is the positioning data of the recognition frame of the waste particle in the image according to the waste particle back paving image data;

[0122] The back recyclable confidence is the recyclable recognition confidence of each waste particle according to the waste particle back paving image data;

[0123] That is, the confidence of recycling from the back image of each waste particle.

[0124] A405, according to the front face recognition frame positioning data and the back face recognition frame positioning data of each waste particle, the front face recyclable confidence and the back face recyclable confidence corresponding to each waste particle are determined;

[0125] According to the waste particles whose front face recognition frame positioning data and back face recognition frame positioning data can match to the corresponding positions, the front face and back face of the same waste particle are determined, and then the front face recyclable confidence and back face recyclable confidence of the waste particle are determined;

[0126] For example, the back face recognition frame positioning data can be mirror processed to coincide with the corresponding position of the corresponding front face recognition frame positioning data, and then the coincidence degree can be used to determine whether the front face and back face of the same waste particle.

[0127] A406, according to the front face recognition frame positioning data of the waste particle and the panel size data of the screening panel 21, the panel front face positioning data corresponding to the waste particle is determined;

[0128] The panel size data is the size data of the screening panel 21;

[0129] The panel front face positioning data is the positioning data of the waste particle on the screening panel 21.

[0130] A407, if the front face recyclable confidence or the back face recyclable confidence corresponding to the waste particle is less than the pre-set recyclable confidence threshold, the corresponding waste particle is defined as a non-recyclable particle;

[0131] The recyclable confidence threshold is a pre-selected reference value for judging whether the confidence corresponding to the waste particle reaches the degree of being recognized as recyclable;

[0132] When the front face recyclable confidence or the back face recyclable confidence of the waste particle is less than the recyclable confidence threshold, it means that one side of the appearance does not meet the standard of recycling, so it is classified as a non-recyclable particle.

[0133] A408, according to the panel front face positioning data of the non-recyclable particle, the non-recyclable particle is sucked and collected on the transparent screening panel 21 by the pre-set particle suction module 22;

[0134] According to the panel front face positioning data of the non-recyclable particle, its position on the transparent screening panel 21 can be determined, and then the particle suction module 22 can be controlled to move to the corresponding position to suck the non-recyclable particle.

[0135] A409, after the particle suction module 22 sucks all the non-recyclable particles on the transparent screening panel 21, the remaining waste particles on the transparent screening panel 21 are collected to generate recyclable particles;

[0136] After all the non-recyclable particles are collected by suction, the recyclable particles remain on the transparent screening panel 21, which can be collected uniformly to complete the classification of recyclable and non-recyclable particles.

[0137] Through the above steps, the waste treatment method based on the production of degradable plastic cups can realize the image classification of waste particles through the front and back shooting and analysis combined with the identification model to identify the recyclable confidence. At the same time, through the cooperation of the transparent screening panel and the particle suction module, the efficiency and accuracy of the classification process are ensured, which not only improves the classification efficiency and reduces the labor cost, but also significantly improves the classification accuracy, providing reliable guarantee for subsequent recycling and reuse.

[0138] Further, the waste treatment method based on the production of degradable plastic cups further comprises the following steps for training the recyclable particle identification model:

[0139] B1, multiple times of obtaining the raw material particles of a single screening quantity and laying them on the transparent screening panel 21;

[0140] The raw material particles are the original raw material particles of the degradable plastic used for production.

[0141] B2, shooting the transparent screening panel 21 by the screening camera module 30 to obtain raw material particle laying front image data and raw material particle laying back image data;

[0142] The raw material particle laying front image data is the front shooting image of the raw material particles laid on the transparent screening panel 21;

[0143] The raw material particle laying back image data is the back shooting image of the raw material particles laid on the transparent screening panel 21.

[0144] B3, determining the front recognition box positioning data corresponding to each raw material particle according to the raw material particle laying front image data with the pre-trained particle identification model;

[0145] The particle identification model is a pre-selected identification model for identifying particles, which can identify and locate particles in the image.

[0146] The recognition box positioning data of the raw material particles in the raw material particle laying front image data can be obtained through the particle identification model.

[0147] B4, determining the back recognition box positioning data corresponding to each raw material particle according to the raw material particle laying back image data with the particle identification model;

[0148] The recognition box positioning data of the raw material particles in the raw material particle laying back image data can be obtained through the particle identification model.

[0149] B5, obtaining raw material particle front image data corresponding to each raw material particle according to the front recognition frame positioning data of the raw material particle on the raw material particle front image data;

[0150] The raw material particle front image data is the front image of each raw material particle, which can be obtained by cutting from the raw material particle front image data according to the front recognition frame positioning data.

[0151] B6, obtaining raw material particle back image data corresponding to each raw material particle according to the back recognition frame positioning data of the raw material particle on the raw material particle back image data;

[0152] The raw material particle back image data is the back image of each raw material particle, which can be obtained by cutting from the raw material particle back image data according to the back recognition frame positioning data.

[0153] B7, generating a particle image training set according to all raw material particle front image data, raw material particle back image data, corresponding front-back marking values and preset recognition result label values and combinations;

[0154] The front-back marking value is a state value of the front and back of the image, indicating that the image comes from the front or the back;

[0155] Although the transparent screening panel 21 is a transparent material panel, there will still be some difference in the front and back camera imaging, so the corresponding front-back marking value needs to be added to the training sample data for feature distinction, for example, the front is set to 1 and the back is set to -1;

[0156] The recognition result label value is a preselected label value. Since the object of the training sample image collection is raw material, the recognition result label value can be set to 1, or different label values can be set according to different grades of raw material particles for quality distinction;

[0157] The particle image training set is a data set for training the recognition model.

[0158] B8, training a preset recognition model according to the particle image training set to generate a recyclable particle recognition model;

[0159] After feature extraction and other necessary operations on the particle image training set, the corresponding machine learning model can be trained to produce a recyclable particle recognition model.

[0160] Through the above steps, the waste treatment method based on degradable plastic cup production can collect image data of the front and back of the raw material particles, and combine the particle recognition model for positioning and image acquisition to obtain rich training data sets, which not only ensures the quality and integrity of the training data, but also sets the front and back marking values, so that the recyclable particle recognition model finally trained has higher recognition accuracy and practicality.

[0161] Further, the waste treatment method based on degradable plastic cup production further comprises the following steps:

[0162] C1, determining the corresponding single screening waste particle number according to the front recognition frame positioning data of each waste particle;

[0163] The single screening waste particle number is the number of waste particles on the transparent screening panel 21 during single screening.

[0164] The number of single screening waste particles can be determined by counting the number of front recognition frames.

[0165] C2, determining the corresponding single screening non-recyclable particle total number according to the statistics of each non-recyclable particle;

[0166] The single screening non-recyclable particle total number is the number of non-recyclable particles on the transparent screening panel 21 during single screening.

[0167] C3, accumulating the single screening waste particle number of each screening to determine the total number of waste particles;

[0168] The total number of waste particles is the sum of the single screening waste particle number of each screening, that is, the sum of all screened waste particles.

[0169] C4, accumulating the single screening non-recyclable particle total number of each screening to determine the total number of non-recyclable particles;

[0170] The total number of non-recyclable particles is the sum of the single screening non-recyclable particle total number of each screening, that is, the sum of all screened non-recyclable waste particles.

[0171] C5, calculating the total number of recyclable particles by subtracting the total number of waste particles from the total number of non-recyclable particles;

[0172] The total number of recyclable particles is the total number of recyclable waste particles in the total number of waste particles.

[0173] C6, calculating the corresponding waste particle recovery rate according to the total number of recyclable particles and the total number of waste particles;

[0174] The waste particle recovery rate is the percentage of the total number of recyclable particles in the total number of waste particles.

[0175] C7, if the waste particle recovery rate is lower than the preset recovery rate threshold, an alarm information is sent to a preset control background;

[0176] The recovery rate threshold is a preset reference value for determining whether the waste particle recovery rate is too low;

[0177] The control background is a preset background for monitoring whether the recovery process is normally carried out;

[0178] When the waste particle recovery rate is lower than the recovery rate threshold, it indicates that the recovery economy may not be high, and the staff should be reminded through the control background to manually confirm whether there is a process anomaly or to avoid loss to stop screening and recovery.

[0179] Through the above steps, the waste treatment method based on the production of degradable plastic cups can statistically analyze the number of waste particles in single screening and cumulative screening, calculate the recovery rate and set an early warning mechanism, not only can the waste treatment efficiency and recovery status be understood in time, but also the problem of low recovery rate can be found and solved in time through the alarm information, realizing the intelligent supervision of the whole waste treatment process and providing reliable data support for production management decision-making.

[0180] Further, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0181] D1, the single screening number of regenerated raw material particles is obtained by sampling regenerated raw material particles, and is laid on the transparent screening panel 21;

[0182] The single screening number of regenerated raw material particles is laid on the transparent screening panel 21 for quality detection.

[0183] D2, the transparent screening panel 21 is photographed by the screening camera module 30 to obtain regenerated particle laying front image data and regenerated particle laying back image data;

[0184] The regenerated particle laying front image data is the front image of the regenerated raw material particles laid on the transparent screening panel 21;

[0185] The regenerated particle laying back image data is the back image of the regenerated raw material particles laid on the transparent screening panel 21.

[0186] D3, according to the regenerated particle laying front image data and the regenerated particle laying back image data, the recyclable particle recognition model is used to identify and determine the front recyclable confidence and the back recyclable confidence corresponding to each regenerated raw material particle;

[0187] The front recyclable confidence and the back recyclable confidence are the recycling confidences corresponding to the front image and the back image of each regenerated raw material particle.

[0188] D4, calculating the particle recyclable confidence corresponding to each recycled raw material particle according to the front recyclable confidence and the back recyclable confidence corresponding to the recycled raw material particle;

[0189] The particle recyclable confidence is the average of the front recyclable confidence and the back recyclable confidence of the recycled raw material particle, and comprehensively reflects the recyclable confidence of the recycled raw material particle.

[0190] D5, calculating the sampling average recyclable confidence according to the particle recyclable confidence of all recycled raw material particles;

[0191] The sampling average recyclable confidence is the average of the particle recyclable confidence of all recycled raw material particles, and reflects the recyclable confidence of the recycled raw material particles as a whole, that is, reflects the degree of closeness to the original raw material particles.

[0192] D6, defining the sampling average recyclable confidence as the recycling quality degree of the recycled raw material particles;

[0193] The recycling quality degree, that is, the sampling average recyclable confidence, reflects the degree of closeness of the quality of the recycled raw material particles to the original raw material particles.

[0194] Through the above steps, the waste treatment method based on the production of degradable plastic cups can detect recycled raw material particles by sampling, use double-sided image recognition technology and recyclable confidence calculation, and finally obtain the quantitative index of recycling quality degree. Not only can the effect of recycling processing be accurately evaluated, but also reliable data basis for production quality control is provided, which helps to continuously improve the recycling process and ensure the quality stability of the recycled raw material.

[0195] Further, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0196] E1, when the recyclable particles and the non-recyclable particles are obtained by screening and classifying the degradable waste particles, the corresponding screening working hours are counted;

[0197] The screening working hours are the total working time consumed for screening all degradable waste particles.

[0198] E2, calculating the waste particle recycling value corresponding to the total number of recyclable particles, the recycling quality degree, and the preset raw material particle value according to the preset recycling value algorithm;

[0199] The raw material particle value is the objective market fair value of the original raw material particle, which is used as the basis for estimating the recyclable particles;

[0200] The recycling value algorithm is a pre-set algorithm for estimating the economic value of the recyclable particles, which can be set by the staff according to experience, and the economic value of the recyclable particles can be estimated in combination with the recycling quality.

[0201] The waste particle recycling value is an estimated total economic value of all recyclable particles in the waste particles.

[0202] E3, calculating the corresponding screening fee according to the screening man-hours and the preset screening man-hour cost;

[0203] The screening fee is the fee generated by the screening module 20, the screening camera module 30 and related components and devices when screening degradable waste particles, which is used to reflect the cost of screening degradable waste particles.

[0204] E4, calculating the corresponding potential recycling yield rate of degradable waste particles according to the waste particle recycling value and the screening fee;

[0205] The potential recycling yield rate is the potential economic value of recyclable particles in degradable waste particles, which can be determined by subtracting the screening fee from the waste particle recycling value and then dividing by the screening fee.

[0206] E5, if the potential recycling yield rate is lower than the preset recycling yield rate threshold, issuing a warning information to the control background;

[0207] The recycling yield rate threshold is a preset reference value for judging whether the potential recycling yield rate is too low to generate economic benefits through screening and recycling. The recycling yield rate threshold can be set by the staff or determined according to the overall recycling process.

[0208] If the potential recycling yield rate is too low, the staff is notified through the control background to make a decision whether to stop recycling to avoid unnecessary losses.

[0209] Through the above steps, the waste treatment method based on degradable plastic cup production can calculate the accurate potential recycling yield rate by comprehensively considering multiple factors such as screening man-hours, recycling quality, raw material value, etc., and set up a warning mechanism, which not only can monitor the economic benefits of waste treatment in real time, but also can find and solve the problem of low yield rate in time, providing reference basis for enterprise management decision-making, and ensuring that waste treatment is not only environmentally friendly but also economically feasible.

[0210] Further, the waste treatment method based on degradable plastic cup production further comprises the following steps of determining the number of single screening:

[0211] F1, setting the recycling particle size according to the particle size of the raw material particles;

[0212] The recycling particle size is set according to the particle size data of the original raw material particles, which can facilitate consistent data for subsequent recyclable identification and improve the accuracy of model training and identification.

[0213] F2, calculate the corresponding particle laying cross-sectional area according to the recovered particle size;

[0214] The particle laying cross-sectional area is the horizontal cross-sectional area when the recovered particles are laid, which can be calculated according to the corresponding recovered particle size.

[0215] F3, calculate the corresponding panel area according to the panel size data;

[0216] The panel area is the surface area of the transparent screening panel 21, which can be calculated by the panel size data.

[0217] F4, calculate the available laying area by multiplying the preset laying density and the panel area;

[0218] The laying density is a preset reference value for determining the density of the degradable waste particles laid on the transparent screening panel 21, and the laying density can be set according to the needs, generally less than 1;

[0219] The available laying area is the area on the transparent screening panel 21 that can be used to lay the degradable waste particles;

[0220] Since the image of each degradable waste particle needs to be obtained to determine whether it can be recycled, each degradable waste particle should not be overlapped and blocked, and a certain gap space needs to be maintained between the degradable waste particles to improve the accuracy of model recognition;

[0221] For example, if the laying density is set to 0.6 and the panel area is 1 square meter, the corresponding available laying area is 0.6 square meters, and the remaining 0.4 square meters is the gap between the degradable waste particles.

[0222] F5, calculate the number of layable particles by dividing the available laying area by the particle laying cross-sectional area, and define it as the single screening quantity;

[0223] The number of layable particles is the number of degradable waste particles that can be accommodated by the available laying area.

[0224] Through the above steps, the waste treatment method based on degradable plastic cup production can calculate the optimal single screening quantity by considering key parameters such as particle size, panel area and laying density, which not only ensures the uniformity and operability of the screening process, but also maximizes the use of screening panel space, improves screening efficiency, and improves the standardization of the entire waste treatment process.

[0225] The application also provides a waste treatment system based on degradable plastic cup production, comprising:

[0226] A pretreatment module 10;

[0227] A screening module 20;

[0228] The screening camera module 30 is screened;

[0229] The identification processing module 40 is identified;

[0230] The preprocessing module 10, the screening module 20 and the screening camera module 30 are respectively connected to the identification processing module 40, and the preprocessing module 10 and the screening module 20 are connected in a material transmission manner;

[0231] The preprocessing module 10 includes a cleaning module 11, a crushing module 12 and a drying module 13, the cleaning module 11 and the crushing module 12 are connected in a material transmission manner, and the drying module 13 is connected to the crushing module 12 in a ventilation manner;

[0232] The screening module 20 includes a transparent screening panel 21 and a particle suction module 22, the transparent screening panel 21 is horizontally arranged, and the particle suction module 22 is movably arranged above the transparent screening panel 21;

[0233] The screening camera module 30 includes a front camera module 31 and a back camera module 32, the front camera module 31 faces the transparent screening panel 21 and is arranged directly above the transparent screening panel 21, and the back camera module 32 faces the transparent screening panel 21 and is arranged directly below the transparent screening panel 21;

[0234] The preprocessing module 10 is mainly used for cleaning and crushing the degradable waste to generate corresponding degradable waste particles;

[0235] The cleaning module 11 is mainly used for cleaning the degradable waste and the degradable waste particles;

[0236] The crushing module 12 is mainly used for crushing the degradable waste to a set size;

[0237] The drying module 13 is mainly used for drying the degradable waste particles in a ventilation manner, and part of the dust impurities is carried away through the ventilation drying.

[0238] The screening module 20 is mainly used for screening the degradable waste particles in combination with the screening camera module 30 to obtain recyclable particles and non-recyclable particles;

[0239] The transparent screening panel 21 is mainly used for laying the degradable waste particles to obtain image data of the degradable waste particles;

[0240] The particle suction module 22 is mainly used for sucking the non-recyclable degradable particles.

[0241] The screening camera module 30 is mainly used for image data acquisition of the degradable waste particles;

[0242] The front camera module 31 is mainly used for image data acquisition of the degradable waste particles from the top of the transparent screening panel 21;

[0243] The back camera module 32 is mainly used for image data acquisition of the degradable waste particles from the bottom of the transparent screening panel 21.

[0244] The identification processing module 40 is mainly used for data processing and identification of the image data of the degradable waste particles, and controls other modules.

[0245] The waste treatment system based on degradable plastic cup production further comprises a waste treatment strategy, comprising the following steps:

[0246] G1, cleaning the pre-collected degradable waste through the pretreatment module 10;

[0247] G2, crushing the degradable waste into degradable waste particles with a preset recycling particle size through the pretreatment module 10;

[0248] G3, cleaning and drying the degradable waste particles through the pretreatment module 10;

[0249] G4, image acquisition of the degradable waste particles through the screening module 20 and the screening camera module 30, and identification and screening classification of the recyclable particles and the non-recyclable particles through the pre-trained recyclable particle identification model;

[0250] G5, regenerating the recyclable particles to generate regenerated raw material particles;

[0251] G6, degrading the non-recyclable particles.

[0252] Through the above technical solutions, the waste treatment system based on degradable plastic cup production can realize the automation and intelligentization of the whole waste treatment process through the construction of an integrated automatic treatment platform, the close connection and cooperative work between various functional modules, the pipeline treatment of washing, crushing and drying through the pretreatment module, the combination of the transparent panel and the suction module of the screening module, and the image acquisition of the double-sided camera module. Not only the processing efficiency is improved, but also the accuracy of classification is ensured, which provides reliable hardware support for industrialized scale application.

[0253] The above are only preferred embodiments of the present application, not intended to limit the protection scope of the present application, any feature disclosed in the specification (including the abstract and the drawings) can be replaced by other equivalent or similar features, unless specifically stated otherwise. That is, each feature is only an example of a series of equivalent or similar features, unless specifically stated otherwise.

Claims

1. A waste treatment method based on the production of biodegradable plastic cups, characterized in that, Includes the following steps: A1, Cleaning pre-collected biodegradable waste; A2, crush biodegradable waste into biodegradable waste particles by pre-set recycling particle size; A3, Cleaning and drying biodegradable waste particles; A4, images of biodegradable waste particles are acquired and identified and classified as recyclable and non-recyclable particles using a pre-trained recyclable particle recognition model; A5, Recyclable pellets are regenerated to produce recycled raw material pellets; A6, Degradation treatment for non-recyclable particles; Step A4 includes the following steps: A401, according to the preset single screening quantity, successively obtains the corresponding number of waste particles from the biodegradable waste particles and spreads them evenly on the preset transparent screening panel. A402, by using a preset screening camera module to capture images of the transparent screening panel, obtains front and back images of the waste particles laid flat; A403, based on the front-side flat image data of waste particles, the recyclable particle recognition model is used to identify and determine the front-side recognition box positioning data and front-side recyclability confidence of each waste particle; A404, based on the back-side image data of waste particles, the back-side identification box location data and back-side recyclability confidence of each waste particle are determined by the recyclable particle identification model; A405, based on the matching of the front identification box positioning data and the back identification box positioning data of each waste particle, determine the front recyclability confidence and back recyclability confidence of each waste particle; A406, determine the front panel positioning data corresponding to the waste particles based on the front identification frame positioning data corresponding to the waste particles and the panel size data of the screening panel; A407, if the confidence level of recyclability on the front or back of the waste particle is less than the preset recycling confidence level threshold, then the corresponding waste particle is defined as a non-recyclable particle. A408, based on the panel front positioning data of the non-recyclable particles, uses a preset particle suction module to suck up and collect the non-recyclable particles from the transparent screening panel. A409, after the particle suction module sucks up all the non-recyclable particles on the transparent screening panel, collects the remaining waste particles on the transparent screening panel to generate recyclable particles.

2. The waste treatment method based on the production of biodegradable plastic cups according to claim 1, characterized in that, The following steps are included in training the recyclable particle identification model: B1, repeatedly obtain the number of raw material particles in a single screening and spread them evenly on the transparent screening panel; B2, using the screening camera module to capture images of the transparent screening panel to obtain front and back images of the raw material particles laid flat; B3. Based on the frontal image data of the raw material particles, the pre-trained particle recognition model is used to determine the frontal recognition box positioning data corresponding to each raw material particle. B4. Based on the image data of the back side of the raw material particles laid flat, the back recognition box positioning data of each raw material particle is determined using a particle recognition model. B5. Based on the front identification box positioning data of each raw material particle and the front image data of the flat-lay raw material particle, obtain the corresponding front image data of the raw material particle. B6. Based on the back identification box positioning data of each raw material particle, obtain the corresponding back image data of the raw material particle flat back image data. B7. A particle image training set is generated based on all the front and back image data of the raw material particles, the corresponding front and back marking values, and the preset recognition result label values. B8 trains a pre-defined recognition model based on a particle image training set to generate a recyclable particle recognition model.

3. The waste treatment method based on the production of biodegradable plastic cups according to claim 2, characterized in that, Further steps include: C1, determine the number of waste particles in a single screening based on the positioning data of the front identification box of each waste particle; C2, determine the total number of non-recyclable particles in a single screening based on the statistics of each non-recyclable particle; C3, the total number of waste particles is determined by accumulating the number of waste particles from each screening in previous screenings; C4, the total number of unrecoverable particles is determined by accumulating the total number of unrecoverable particles from each screening session; C5, calculate the total number of recyclable particles by taking the difference between the total number of waste particles and the total number of non-recyclable particles; C6, calculate the corresponding waste particle recovery rate based on the total number of recyclable particles and the total number of waste particles; C7. If the waste particle recovery rate is lower than the preset recovery rate threshold, a warning message will be sent to the preset control backend.

4. The waste treatment method based on the production of biodegradable plastic cups according to claim 2, characterized in that, Further steps include: D1, a single screening quantity of recycled raw material particles is obtained by sampling the recycled raw material particles and spread evenly on the transparent screening panel; D2, using the screening camera module to capture images of the transparent screening panel to obtain front and back images of the recycled particles laid flat; D3. Based on the front and back image data of the recycled granules laid flat, the recyclable granule identification model is used to identify and determine the front and back recyclability confidence levels of each recycled raw material granule. D4. Calculate the corresponding particle recyclability confidence level by averaging the front and back recyclability confidence levels for each recycled raw material particle. D5, Calculate the average recyclability confidence level of the sample based on the average of the particle recyclability confidence levels of all recycled raw material particles; D6 defines the sampling average recyclability confidence level as the recycling quality of the recycled raw material particles.

5. The waste treatment method based on the production of biodegradable plastic cups according to claim 4, characterized in that, Further steps include: E1, when screening and classifying biodegradable waste particles to obtain recyclable and non-recyclable particles, the corresponding screening time is calculated; E2 calculates the corresponding waste particle recycling value based on the total number of recyclable particles, recycling quality, and preset raw material particle value using a preset recycling value algorithm. E3 calculates the corresponding screening fee based on the screening time and the preset screening time cost; E4, calculate the potential recovery rate of biodegradable waste particles based on the recycling value of the waste particles and the screening cost; E5: If the potential recovery rate is lower than the preset recovery rate threshold, a warning message will be sent to the control backend.

6. The waste treatment method based on the production of biodegradable plastic cups according to claim 5, characterized in that, Further steps include determining the number of samples per screening: F1, set the size of the recycled particles according to the particle size of the raw material particles; F2, calculate the corresponding cross-sectional area of ​​the recycled particles based on their size; F3 calculates the corresponding panel area based on the panel size data; F4 calculates the available tiling area by multiplying the preset tiling density and panel area; F5 calculates the corresponding number of paving particles by quotienting the available paving area and the paving cross-sectional area of ​​the particles, and defines it as the number of particles to be paved in a single screening.

7. A waste treatment system based on the production of biodegradable plastic cups, used to implement the waste treatment method based on the production of biodegradable plastic cups as described in any one of claims 1-6, characterized in that, include: Preprocessing module; Filtering module; Select camera modules; Identification and processing module; The preprocessing module, the screening module, and the screening camera module are respectively data-connected to the identification processing module, and the preprocessing module and the screening module are connected in a transferable manner. The pretreatment module includes a cleaning module, a crushing module, and a drying module. The cleaning module and the crushing module are connected in a material-transferable manner, and the drying module is ventilatedly connected to the crushing module. The screening module includes a transparent screening panel and a particle suction module. The transparent screening panel is horizontally arranged, and the particle suction module is movably arranged above the transparent screening panel. The screening camera module includes a front camera module and a rear camera module. The front camera module faces the transparent screening panel and is located directly above the transparent screening panel, while the rear camera module faces the transparent screening panel and is located directly below the transparent screening panel. The waste treatment system based on the production of biodegradable plastic cups further includes a waste treatment strategy, comprising the following steps: G1, the pre-collected biodegradable waste is cleaned by the pre-treatment module; G2, the pretreatment module crushes the biodegradable waste into biodegradable waste particles at a preset recycling particle size; G3, the pretreatment module is used to clean and dry the biodegradable waste particles; G4, the screening module and the screening camera module acquire images of biodegradable waste particles and identify and classify them into recyclable and non-recyclable particles through a pre-trained recyclable particle recognition model; G5, regenerates recyclable particles to produce recycled raw material particles; G6 is used to degrade non-recyclable particles.

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